Dynamic geochemical models to assess deposition impacts of metals for soils and surface waters
Groenenberg, Jan E.; Tipping, Edward ORCID: https://orcid.org/0000-0001-6618-6512; Bonten, Luc T.C.; de Vries, Wim. 2015 Dynamic geochemical models to assess deposition impacts of metals for soils and surface waters. In: de Vries, Wim; Hettelingh, Jean-Paul; Posch, Maximilian, (eds.) Critical loads and dynamic risk assessments: nitrogen, acidity and metals in terrestrial and aquatic ecosystems. Dordrecht, Springer, 253-268. (Environmental Pollution, 25).
Full text not available from this repository.Abstract/Summary
This chapter describes the use of geochemical models to assess the impacts of the deposition of metals on the concentrations of metals in soils and surface waters. We describe three dynamic models: SMART2-metals, SMARTml and CHUM-AM, each with their specific purpose and geographical scale of application. All three models include the most relevant metal fluxes and soil chemical processes, but with various level of detail related to their specific aim and scale. The ability of the models to simulate the long-term trends of metal fate was assessed by comparing model results and observations of either the present metal status, using hind cast simulations with historical deposition trends, or metal pools in chronosequences of afforested agricultural land of different stand age, or metal concentrations observed in a long-term monitoring study. The model simulations show the long times needed to approach equilibrium concentrations of metals due to changes in the atmospheric deposition of metals, sulphur and nitrogen. Dynamic models are therefore indispensable tools for the assessment of metal concentrations at changing levels of metal inputs to soil-water systems
Item Type: | Publication - Book Section |
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Digital Object Identifier (DOI): | 10.1007/978-94-017-9508-1_9 |
UKCEH and CEH Sections/Science Areas: | Shore |
ISBN: | 9789401795074 |
Additional Keywords: | atmospheric deposition, metals, modelling, SMART2-metals, CHUM-AM, SMARTml |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 12 Jun 2015 10:31 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/511006 |
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